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For Companies At a Glance
- Tasks: Assist with quantitative analysis and collaborate on marketing materials.
- Company: Join Societe Generale, a leader in corporate and investment banking.
- Benefits: Enjoy a collaborative environment that values innovation and respect.
- Why this job: Make an impact while learning in a diverse and inclusive culture.
- Qualifications: Degree in engineering, mathematics, or finance; Python skills preferred.
- Other info: Diversity is celebrated; we encourage applicants from all backgrounds.
The predicted salary is between 24000 - 36000 £ per year.
Join to apply for the Trainee - Quantitative Investment Strategies role at Societe Generale Corporate and Investment Banking - SGCIB.
Responsibilities
- Description of the Business Line or Department: The Quantitative Investment Solutions (QIS) department designs, develops, and maintains systematic strategies delivered to investors, typically via indices. The team also focuses on designing and implementing investment solutions that meet specific client requirements.
Summary Of The Key Purposes Of The Role
- Assist the team with quantitative analysis related to risks and benefits of systematic strategies in client portfolios and market themes.
- Collaborate with Marketing to effectively portray quantitative results in marketing materials.
- Engage with the broader QIS and Sales teams for insights and support.
Summary Of Responsibilities
- Conduct quantitative analysis linked to SG QIS indices and client portfolios.
- Calculate portfolio backtests for asset allocation proxy and client-specific solutions.
- Work with Marketing to create understandable presentations of complex analyses.
- Design and develop quantitative tools for team use.
- Collaborate with Sales to customize analysis for client needs.
- Participate in internal meetings.
Required Profile
- Degree or equivalent in engineering, mathematics, physics, or quantitative finance.
- Strong interest in quantitative finance.
- At least 1 year of work experience in a quantitative role is advantageous.
- Proficiency in Python; knowledge of R, Matlab, VBA, C++, or Java is a plus.
- Excellent skills in Microsoft Office, especially Excel and PowerPoint.
- Fluent in written and spoken English.
- Strong problem-solving and multi-tasking abilities.
- Eagerness to learn.
Why join us
We offer impact through our work, visibility, and a collaborative environment that fosters innovation and respect. Our culture values open-mindedness, community, and shared success, making us unique.
Business insight
If you meet the qualifications, apply to the SG Resourcing Team. We value diversity and are committed to equal opportunity employment.
Diversity and Inclusion
We are proud to be an equal opportunities employer and promote diversity as a strength.
Trainee - Quantitative Investment Strategies employer: Societe Generale Corporate and Investment Banking - SGCIB
Contact Detail:
Societe Generale Corporate and Investment Banking - SGCIB Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Trainee - Quantitative Investment Strategies
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative finance. Read up on systematic strategies and indices, as this knowledge will help you engage in meaningful conversations during interviews.
✨Tip Number 2
Brush up on your Python skills, as proficiency in this language is crucial for the role. Consider working on personal projects or contributing to open-source projects to showcase your coding abilities.
✨Tip Number 3
Network with professionals in the quantitative finance field. Attend industry events or webinars to connect with people who can provide insights into the role and potentially refer you.
✨Tip Number 4
Prepare to discuss your problem-solving approach and how you've tackled complex analyses in the past. Be ready to share examples that demonstrate your analytical thinking and eagerness to learn.
We think you need these skills to ace Trainee - Quantitative Investment Strategies
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative analysis, programming skills, and any projects related to finance. Emphasise your proficiency in Python and any other programming languages mentioned in the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for quantitative finance and your eagerness to learn. Mention specific experiences that relate to the responsibilities of the role, such as any previous work with data analysis or client-focused projects.
Highlight Relevant Skills: In your application, clearly outline your skills in Microsoft Office, particularly Excel and PowerPoint. Provide examples of how you've used these tools in past roles or projects to solve problems or present complex information.
Showcase Your Problem-Solving Abilities: Include examples in your application that demonstrate your problem-solving and multi-tasking abilities. This could be through academic projects, internships, or any relevant work experience where you successfully tackled challenges.
How to prepare for a job interview at Societe Generale Corporate and Investment Banking - SGCIB
✨Showcase Your Quantitative Skills
Be prepared to discuss your experience with quantitative analysis. Highlight any projects or coursework that demonstrate your proficiency in Python and other relevant programming languages. This is your chance to impress them with your technical knowledge!
✨Understand the Business Line
Research Societe Generale's Quantitative Investment Solutions department. Familiarise yourself with their systematic strategies and how they deliver value to clients. Showing that you understand their business will set you apart from other candidates.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities. Practice explaining your thought process clearly and logically, as this role requires strong analytical skills. Use examples from your past experiences to illustrate your approach.
✨Collaborative Mindset
Since the role involves working with various teams, emphasise your ability to collaborate effectively. Share examples of how you've worked with others in the past, especially in a quantitative context, to show that you're a team player.
